Correlating Multimodal Physical Sensor Information with Biological Analysis in Ultra Endurance Cycling

The sporting domain has traditionally been used as a testing ground for new technologies which subsequently make their way into the public domain. This includes sensors. In this article a range of physical and biological sensors deployed in a 64 hour ultra-endurance non-stop cycling race are describ...

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Bibliographic Details
Main Authors:	Giles D.Warrington, Alan F. Smeaton, Aiden R. Doherty, Gregory C. May
Format:	Article
Language:	English
Published:	MDPI AG 2010-07-01
Series:	Sensors
Subjects:	ultra-endurance cycling body sensors cycling event detection estimating energy expenditure
Online Access:	http://www.mdpi.com/1424-8220/10/8/7216/

id	doaj-049ee4a7197d494f8e6e78b82ae394ad
record_format	Article
spelling	doaj-049ee4a7197d494f8e6e78b82ae394ad2020-11-25T00:15:11ZengMDPI AGSensors1424-82202010-07-011087216723510.3390/s100807216Correlating Multimodal Physical Sensor Information with Biological Analysis in Ultra Endurance CyclingGiles D.WarringtonAlan F. SmeatonAiden R. DohertyGregory C. MayThe sporting domain has traditionally been used as a testing ground for new technologies which subsequently make their way into the public domain. This includes sensors. In this article a range of physical and biological sensors deployed in a 64 hour ultra-endurance non-stop cycling race are described. A novel algorithm to estimate the energy expenditure while cycling and resting during the event are outlined. Initial analysis in this noisy domain of “sensors in the field” are very encouraging and represent a first with respect to cycling. http://www.mdpi.com/1424-8220/10/8/7216/ultra-endurance cyclingbody sensorscycling event detectionestimating energy expenditure
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Giles D.Warrington Alan F. Smeaton Aiden R. Doherty Gregory C. May
spellingShingle	Giles D.Warrington Alan F. Smeaton Aiden R. Doherty Gregory C. May Correlating Multimodal Physical Sensor Information with Biological Analysis in Ultra Endurance Cycling Sensors ultra-endurance cycling body sensors cycling event detection estimating energy expenditure
author_facet	Giles D.Warrington Alan F. Smeaton Aiden R. Doherty Gregory C. May
author_sort	Giles D.Warrington
title	Correlating Multimodal Physical Sensor Information with Biological Analysis in Ultra Endurance Cycling
title_short	Correlating Multimodal Physical Sensor Information with Biological Analysis in Ultra Endurance Cycling
title_full	Correlating Multimodal Physical Sensor Information with Biological Analysis in Ultra Endurance Cycling
title_fullStr	Correlating Multimodal Physical Sensor Information with Biological Analysis in Ultra Endurance Cycling
title_full_unstemmed	Correlating Multimodal Physical Sensor Information with Biological Analysis in Ultra Endurance Cycling
title_sort	correlating multimodal physical sensor information with biological analysis in ultra endurance cycling
publisher	MDPI AG
series	Sensors
issn	1424-8220
publishDate	2010-07-01
description	The sporting domain has traditionally been used as a testing ground for new technologies which subsequently make their way into the public domain. This includes sensors. In this article a range of physical and biological sensors deployed in a 64 hour ultra-endurance non-stop cycling race are described. A novel algorithm to estimate the energy expenditure while cycling and resting during the event are outlined. Initial analysis in this noisy domain of “sensors in the field” are very encouraging and represent a first with respect to cycling.
topic	ultra-endurance cycling body sensors cycling event detection estimating energy expenditure
url	http://www.mdpi.com/1424-8220/10/8/7216/
work_keys_str_mv	AT gilesdwarrington correlatingmultimodalphysicalsensorinformationwithbiologicalanalysisinultraendurancecycling AT alanfsmeaton correlatingmultimodalphysicalsensorinformationwithbiologicalanalysisinultraendurancecycling AT aidenrdoherty correlatingmultimodalphysicalsensorinformationwithbiologicalanalysisinultraendurancecycling AT gregorycmay correlatingmultimodalphysicalsensorinformationwithbiologicalanalysisinultraendurancecycling
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Correlating Multimodal Physical Sensor Information with Biological Analysis in Ultra Endurance Cycling

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